Mediación insight: un modelo reflexivo y pedagógico para abordar los conflictos
Bibliographic record
Abstract
espanolLa mediacion insight es un modelo original de mediacion, proveniente de Canada, que surge a partir de la critica hacia los modelos tradicional-lineal, narrativo y transformativo. Este enfoque concibe la intervencion mediadora como un proceso interactivo de aprendizaje para todas las personas participantes (incluida la conductora del mismo). Se fundamenta en dos teorias filosoficas y pedagogicas que privilegian la reflexion personal como via para alcanzar el conocimiento: la teoria del insight de Lonergan y la teoria del aprendizaje transformacional de Mezirow. Sobre estas bases teoricas, sus fundadores han elaborado un proceso que recurre a tecnicas comunicativas especificas para superar el conflicto, que es concebido como la experiencia de una amenaza hacia las convicciones mas intimas de la persona. Finalmente, la consolidacion de este enfoque durante mas de una decada posibilita que deba ser considerada como candidata a convertirse en la cuarta gran escuela de mediacion a nivel internacional. EnglishInsight Mediation is and original mediation model originated in Canada that was created as a reaction to traditional linear models, i.e. narrative and transformative models. This approach envisages the mediation intervention as a learning interactive process for the participating people (including the person leading the intervention). It is based on two philosophical and pedagogical theories that prioritize personal reflection as a way to reach knowledge: Lonergan’s insight theory, and Mezirow’s transformational learning theory. Using these two theories, its founders crafted a process resorting to specific communicative skills to overcome conflict, which is conceived as experiencing a threat to the most intimate certainties a person has. Lastly, the fact that this approach has been consolidating for over a decade makes it qualify as the fourth great mediation school at an international level.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.009 | 0.032 |
| Scholarly communication | 0.015 | 0.012 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".